Kevin Wan is a seasoned software engineer with 13 years of experience specializing in Go-based backend and cloud-native systems, based in Hong Kong. He contributes actively to prominent open-source projects like go-zero and kratos, focusing on reliability, concurrency control, and performance optimizations for microservices frameworks. Kevin also builds practical tooling—such as a TCP proxy/analyzer and a high-performance Kafka-to-Elasticsearch pipeline—demonstrating expertise in networking, data ingestion, and observability. His work often blends feature development with careful refactoring, dependency hygiene, and robustness improvements, and he has a knack for surfacing subtle runtime issues like resource leaks and data races. Notably, he extends beyond frameworks into developer ergonomics, helping translate language tooling and examples that make cloud-native patterns easier to adopt.
Contributions:66 commits, 161 PRs, 143 pushes in 1 year 11 months
Contributions summary:Kevin's contributions primarily involve initializing and implementing RPC service examples using the go-zero framework. These changes include the creation of protobuf definitions, service implementations, and related configuration files, suggesting a focus on building backend services. The code modifications encompass additions to the `add` and `check` RPC services, indicating work on core service functionality within the repository. Furthermore, the user updated go-zero dependencies and examples of using features, demonstrating an understanding of the framework.
go-stash is a high performance, free and open source server-side data processing pipeline that ingests data from Kafka, processes it, and then sends it to ElasticSearch.
Role in this project:
Back-end Developer
Contributions:21 releases, 1 review, 86 commits in 2 years 5 months
Contributions summary:Kevin primarily focused on enhancing the `go-stash` data processing pipeline. Their contributions include refactoring filter logic into dedicated files, updating dependencies like go-zero and go-queue, and adding support for multiple Kafka topics. They also made doc type configurable and improved the Elasticsearch indexing process, indicating a focus on improving data ingestion and processing within the ELK stack.
golangpipelinestashelkdata-processing
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.